Tavus

About the Company

Tavus is a research lab pioneering human computing. We're building AI humans: a new interface that closes the gap between us and machines, free from the friction of today's systems. Our real-time human simulation models let machines see, hear, respond, and even look real, enabling meaningful face-to-face conversations with people. AI Humans connect and act with precision and empathy, making them capable, trusted agents. It's the best of both worlds: the emotional intelligence of humans, with the reach and reliability of machines. They're available 24/7, in every language, on our terms. Imagine a therapist that anyone can afford. A personal trainer that adapts to your schedule. A fleet of medical assistants that can give every patient the attention they need. Tavus: teaching machines how to be human.

Listed Jobs

Company Name

Tavus

Job Title

Solutions Engineer

Job Description

Job title: Solutions Engineer Role Summary: Drive technical enablement for clients of an AI‑powered platform by understanding product internals, architecting integrations, troubleshooting production issues, and building developer resources. Act as a liaison between sales, customer success, and engineering to translate business needs into scalable technical solutions, enhance documentation, and automate repeatable processes. Expectations: - Collaborate with developers and decision‑makers to design and implement solutions that align with business objectives. - Resolve API, webhook, and integration problems quickly, aiming for near‑zero resolution time. - Identify root causes of recurring issues, improve documentation, and implement fixes in product or support flows. - Produce sample code, tutorials, and tooling that streamline onboarding for new customers. - Share best practices for scaling platform usage and help enterprise teams adopt industry‑standard deployment patterns. Key Responsibilities: - Deeply understand platform architecture, APIs, and SDKs to provide subject‑matter expertise. - Conduct live demos and technical workshops for potential and existing customers. - Debug and resolve production incidents, including payload parsing, auth, latency, and data consistency. - Draft and maintain technical documentation, FAQs, and support playbooks. - Automate repetitive manual tasks, create monitoring dashboards, and build development environments. - Work closely with product and engineering to surface user‑reported bugs and suggest product improvements. - Prioritize and manage multiple concurrent client engagements without compromising quality. Required Skills: - Proficient in JavaScript/TypeScript or Python; experience with REST/GraphQL APIs, webhooks, and debugging tools. - Strong software development fundamentals: build, deploy, unit/test end‑to‑end applications. - Excellent verbal and written communication; able to translate complex technical issues into clear explanations. - Customer‑obsessed mindset focused on rapid, high‑quality problem resolution. - Demonstrated ability to juggle multiple projects, stakeholders, and deadlines. - Experience with AI/ML inference, conversational AI, or video processing APIs is a plus. Required Education & Certifications: - Bachelor’s degree in Computer Science, Software Engineering, or related technical field (or equivalent experience). - No specific certifications required; familiarity with cloud platforms (AWS, GCP, Azure) is advantageous.

New york, United states

Hybrid

28-11-2025

Company Name

Tavus

Job Title

AI Researcher (Perception)

Job Description

**Job Title:** AI Researcher (Perception) **Role Summary:** Lead advanced research on generative video and audio‑visual perception models, focusing on real‑time human‑centric applications such as neural avatars, talking heads, and lip‑sync. Collaborate closely with applied machine learning and engineering teams to transition research prototypes into production‑ready systems, while driving cutting‑edge innovations in generative AI and visual‑audio analysis. **Expectations:** - Spearhead research initiatives on low‑level computer vision and generative video models. - Translate academic findings into scalable, real‑time solutions within tight compute budgets. - Publish results in top-tier conferences (CVPR, ICCV, NeurIPS, ECCV, ACMMM). - Balance research excellence with pragmatic engineering delivery. - Mentor junior researchers and contribute to a high‑performance research culture. **Key Responsibilities:** - Design, implement, and evaluate generative video models (e.g., Neural Avatar, Talking‑Head, Lip‑Sync). - Develop real‑time analysis and generation pipelines under strict latency constraints. - Partner with applied ML teams to productionize research outputs and integrate them into production systems. - Stay current with breakthroughs in vision‑language models, large foundation models, and generative AI. - Lead cross‑functional collaborations, including software engineering best practices and experiment management. - Oversee model training at scale, including LLM and VLM training workflows. - Publish papers, give talks, and contribute to the broader research community. - Guide methodology reviews, code quality audits, and research reproducibility standards. **Required Skills:** - Deep expertise in deep learning frameworks (PyTorch) and vision/audio‑visual modeling. - Proven experience in visual and audio‑visual human behaviour analysis (affect, expressions, conversational settings). - Strong background in generative models, foundation models, and real‑time inference. - Comfortable with end‑to‑end research and engineering responsibilities. - Ability to work under uncertainty, prioritize, and take calculated risks. - Excellent written and verbal communication for publishing and cross‑team collaboration. - Familiarity with large‑scale model training (LLMs, VLMs) and distributed computing. **Required Education & Certifications:** - Ph.D. or equivalent experience in Computer Vision, Machine Learning, or related fields. - Demonstrated publication record in top‑tier conferences (CVPR, ICCV, NeurIPS, ECCV, ACMMM). - Prior leadership experience in research teams is highly valued.

California, United states

On site

08-12-2025